Multi-Agent Warehouse Coverage & Cleaning
Efficient coverage and cleaning of unknown terrains using multiple ground robots.
Aryaman Gupta, Kaustav Chakraborty, Somil Bansal
IEEE International Conference on Robotics and Automation (ICRA) 2024
Research Intern | Prof. Somil Bansal | May 2023 - Present
Working on mitigating system-level failures of vision-based controllers in aircraft taxiing and ground robot navigation tasks.
Research Intern | Dr. Hashim Mohamed | Jan 2023 - Dec 2023
Working on developing a deep-RL based docking mechanism for VTOL UAVs on offshore platforms.
Research Intern | Dr. Bharadwaj Amrutur | May 2022 - July 2022
Worked on multi-agent exploration using RRT-based methods and dynamic obstacle avoidance using 3D object detection.
Research Intern | Dr. Oh-Seol Kwon | Mar 2022 - July 2022
Worked on combining Faster R-CNN and Edge Enhanced SRGAN architectures for enhanced object detection in low resolution aerial images.
Efficient coverage and cleaning of unknown terrains using multiple ground robots.
RRT-Exploration and visual obstacle detection and avoidance package.
Cascaded PID-based control and swarm motion of drones.
Fabricated a ground robot to perform household chores and child care.
Enhanced network performance by introducing small-world phenomenon using actor-critic reinforcement learning.
UAV aided mapping and localization for a UGV to autonomously traverse in mountainous terrains.